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What is regression analysis?
In statistics, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables.
How many variables can be on a table graph?
Normally, only two variables are assigned to a table graph, one for each axis. You can, however, extend the variables included in a graph by using the box color as an indicator, although this is abnormal and may become confusing and as such its probably best to stick with two variables, an independent and dependent variable.
When you introduce more than one independent variable into a linear regression analysis?
Generally, when the dependent variable appears to be the result of more than one independent variables, a multiple regression model may be suitable. It is difficult to justify adding an additional variable, that does not significantly reduce the residual error of the fit. The setting of thresholds to justify addition of variables is in the area of "stepwise regression." The data must be adequate and consistent with the assumption of independent variables. I note from the first related link: Most authors recommend that one should have at least 10 to 20 times as many observations (cases, respondents) as one has variables, otherwise the estimates of the regression line are probably very unstable and unlikely to replicate if one were to do the study over. See related links. Many more are available in the Internet. Also, many books have been written on the multiple regression- proper and improper use.
Why is the Gaussian distribution referred to as normal distribution?
Because many naturally occurring variables were approximately distributed according to a Normal bell shaped curve.Because many naturally occurring variables were approximately distributed according to a Normal bell shaped curve.Because many naturally occurring variables were approximately distributed according to a Normal bell shaped curve.Because many naturally occurring variables were approximately distributed according to a Normal bell shaped curve.
What is the probability of winning a lotto?
The answer depends on the lotto. The relevant variables are:How many numbers you chose from,How many numbers you have to choose,How many numbers you need to match to win - something - not necessarily the jackpot.The answer depends on the lotto. The relevant variables are: How many numbers you chose from,How many numbers you have to choose,How many numbers you need to match to win - something - not necessarily the jackpot.The answer depends on the lotto. The relevant variables are: How many numbers you chose from,How many numbers you have to choose,How many numbers you need to match to win - something - not necessarily the jackpot.The answer depends on the lotto. The relevant variables are: How many numbers you chose from,How many numbers you have to choose,How many numbers you need to match to win - something - not necessarily the jackpot.
